Data Scientist I

At Verisk, we help the world see new possibilities and inspire change for better tomorrows.

Within our Catastrophe & Risk Solutions business, we are the scientific leader in catastrophe modeling-pioneering the industry since 1987 and modeling risk from natural catastrophes, terrorism, and casualty threats across 90 countries.

We are seeking a Data Scientist I to join our Casualty Catastrophe Model team in Boston.

This is an exciting opportunity to work at the intersection of data science, probabilistic modeling, insurance analytics, and software-enabled product development, helping global clients better understand and manage emerging and systemic liability risks.

What You'll Do

As a member of our research and modeling organization, you'll contribute across the full model development lifecycle-moving ideas from research and proof-of-concept through to production-ready solutions used by clients around the world.

In this role, you will:


* Develop, enhance, and maintain casualty catastrophe models and analytics for emerging and systemic liability risks


* Conduct mathematical, statistical, and data-driven analyses to support model design, validation, and testing.


* Translate research prototypes into scalable, production-ready model components


* Build and improve model development pipelines using Python, SQL, Git, and AWS-based tools.


* Analyze and synthesize data from multiple sources to support model parameterization, sensitivity testing, and robustness evaluation.


* Collaborate closely with product, software, and client-facing teams to integrate model methodology into Verisk products.


* Leverage Generative AI and agentic AI tools to accelerate modeling, prototyping, workflow automation, and insight generation.


* Contribute to technical documentation and clearly communicate assumptions, methodology, limitations, and results.


* Support client inquiries by explaining model behavior and outputs in a clear, practical, and accessible way.


* Present analytical findings to both technical and non-technical audiences.

Required Qualifications


* Bachelor's or Master's degree in statistics, mathematics, data science, actuarial science, economics, engineering, computer science, or another quantitative/STEM field


* At least 1 year of professional experience in data science, statistical modeling, risk modeling, or a related technical field


* Strong programming skills in Python and SQL


* Experience using Git-based development workflows


* Experience working with AWS-based cloud analytics or data workflows


* Demonstrated ability to take analytical or statistical models from proof-of-concept to implementation


* Proven experience using AI-powered tools to support modeling, prototyping, automation, and productivity improvements


* Strong written and verbal communication skills, with the ability to explain technical ideas to non-technical audiences

Nice to Have


* Familia...